A Simple Approach for Data Mining in Delphi
Data mining is a technique used to uncover previously unknown and potentially useful knowledge from large datasets. It turns data into actionable information for better decision making. Delphi incorporates a collection of high-performance data-analysis components known as the Decision Cube. The Deci...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Ubiquity Press
2007-12-01
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| Series: | Data Science Journal |
| Subjects: | |
| Online Access: | http://datascience.codata.org/articles/532 |
| Summary: | Data mining is a technique used to uncover previously unknown and potentially useful knowledge from large datasets. It turns data into actionable information for better decision making. Delphi incorporates a collection of high-performance data-analysis components known as the Decision Cube. The Decision Cube offers an easy path to powerful data analysis in an application. This paper describes a simple approach for data mining using the Decision Cube components of Delphi. It requires only some drag-and-dropping and property-setting, with no need for manual coding. It does not require special knowledge of data mining. At the end, an example is offered. |
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| ISSN: | 1683-1470 |